Triple

T15473418
Position Surface form Disambiguated ID Type / Status
Subject Stadion Miejski w Gdyni E376721 entity
Predicate homeVenueOf P890 FINISHED
Object Arka Gdynia (women)
Arka Gdynia (women) is a Polish women's football club based in Gdynia that competes in the national league system.
 E1159140 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arka Gdynia (women) | Statement: [Stadion Miejski w Gdyni, homeVenueOf, Arka Gdynia (women)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arka Gdynia (women)
Context triple: [Stadion Miejski w Gdyni, homeVenueOf, Arka Gdynia (women)]
  • A. Elana Toruń
    Elana Toruń is a Polish football club based in the city of Toruń.
  • B. Warszawianka
    "Warszawianka" is a renowned patriotic drama by Polish playwright Stanisław Wyspiański, centered on themes of national struggle and sacrifice.
  • C. Ewa
    Ewa is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," involved in the glamorous yet morally complex world surrounding the Cannes Film Festival.
  • D. Amica Wronki
    Amica Wronki was a Polish professional football club best known for its success in the 1990s and early 2000s, including multiple national cup victories.
  • E. Joanna Pacuła
    Joanna Pacuła is a Polish-born actress and former model best known for her work in American films during the 1980s and 1990s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arka Gdynia (women)
Triple: [Stadion Miejski w Gdyni, homeVenueOf, Arka Gdynia (women)]
Generated description
Arka Gdynia (women) is a Polish women's football club based in Gdynia that competes in the national league system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arka Gdynia (women)
Target entity description: Arka Gdynia (women) is a Polish women's football club based in Gdynia that competes in the national league system.
  • A. Elana Toruń
    Elana Toruń is a Polish football club based in the city of Toruń.
  • B. Warszawianka
    "Warszawianka" is a renowned patriotic drama by Polish playwright Stanisław Wyspiański, centered on themes of national struggle and sacrifice.
  • C. Ewa
    Ewa is a fictional character in Paulo Coelho’s novel "The Winner Stands Alone," involved in the glamorous yet morally complex world surrounding the Cannes Film Festival.
  • D. Amica Wronki
    Amica Wronki was a Polish professional football club best known for its success in the 1990s and early 2000s, including multiple national cup victories.
  • E. Joanna Pacuła
    Joanna Pacuła is a Polish-born actress and former model best known for her work in American films during the 1980s and 1990s.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d075e64819097061ef4c205577e completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:33 a.m.